What is the current concentration of PM10 in South Yorkshire, UK?

The current PM10 concentration at South Yorkshire, UK is 13.882 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in South Yorkshire, UK?

The current sulfur dioxide (SO2) concentration at South Yorkshire, UK is 0.991 ppb.

What is the current concentration of ozone (O3) in South Yorkshire, UK?

The current ozone (O3) concentration at South Yorkshire, UK is 36.815 ppm.

What is the current concentration of nitrogen dioxide (NO2) in South Yorkshire, UK?

The current nitrogen dioxide (NO2) concentration at South Yorkshire, UK is 3.497 ppb.

South Yorkshire, UK live air quality index now

Q: What is the current concentration of PM2.5 in South Yorkshire, UK?

The current PM2.5 concentration at South Yorkshire, UK is 4.47 μg/m3.

Stay updated with real-time air quality in South Yorkshire, UK featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

South Yorkshire, UK

Last updated: ... (Local time)

Major air pollutants in South Yorkshire, UK

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.47 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.88 μg/m³

155

255

425

605+

Ozone (O₃)

36.81 ppb

201

201+

Sulfur Dioxide (SO₂)

0.99 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.50 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

South Yorkshire, UK

Get Live Pollen Counts

South Yorkshire, UK

Scroll To Air Quality Map

Track live South Yorkshire, UK air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T21:00:00.000Z	32 \| good	5.183 \| good	14.101 \| good	35.43 \| good	0.633 \| good	10.86 \| good	0.102 \| good
2026-03-27T22:00:00.000Z	32 \| good	5.136 \| good	13.194 \| good	34.65 \| good	0.88 \| good	8.367 \| good	0.097 \| good
2026-03-27T23:00:00.000Z	32 \| good	4.992 \| good	12.25 \| good	34.734 \| good	0.841 \| good	8.057 \| good	0.081 \| good
2026-03-28T00:00:00.000Z	32 \| good	4.865 \| good	13.165 \| good	35.407 \| good	0.616 \| good	5.671 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	31 \| good	4.896 \| good	13.111 \| good	34.247 \| good	0.643 \| good	4.788 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	31 \| good	4.9 \| good	12.512 \| good	34.055 \| good	0.677 \| good	4.251 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	31 \| good	4.845 \| good	12.632 \| good	34.107 \| good	0.442 \| good	3.676 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	5.88 \| good	13.909 \| good	35.003 \| good	0.472 \| good	2.717 \| good	0.203 \| good
2026-03-28T05:00:00.000Z	33 \| good	5.872 \| good	14.642 \| good	35.119 \| good	0.516 \| good	3.329 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	5.879 \| good	14.849 \| good	35.888 \| good	0.449 \| good	1.843 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	34 \| good	5.903 \| good	15.532 \| good	36.827 \| good	0.443 \| good	2.084 \| good	0.058 \| good
2026-03-28T08:00:00.000Z	33 \| good	6.369 \| good	19.242 \| good	36.006 \| good	0.546 \| good	3.069 \| good	0.066 \| good
2026-03-28T09:00:00.000Z	34 \| good	6.499 \| good	19.372 \| good	36.997 \| good	0.774 \| good	3.138 \| good	0.071 \| good
2026-03-28T10:00:00.000Z	34 \| good	6.499 \| good	19.47 \| good	37.409 \| good	0.554 \| good	3.642 \| good	0.078 \| good
2026-03-28T11:00:00.000Z	38 \| good	7.086 \| good	20.38 \| good	36.962 \| good	0.606 \| good	4.038 \| good	0.08 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.184 \| good	20.797 \| good	37.291 \| good	0.68 \| good	4.235 \| good	0.077 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.184 \| good	21.026 \| good	38.083 \| good	0.68 \| good	4.047 \| good	0.076 \| good
2026-03-28T14:00:00.000Z	38 \| good	7.315 \| good	21.541 \| good	38.227 \| good	0.68 \| good	5.084 \| good	0.073 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.13 \| good	20.705 \| good	38.618 \| good	0.747 \| good	4.154 \| good	0.088 \| good
2026-03-28T16:00:00.000Z	38 \| good	7 \| good	20.288 \| good	38.894 \| good	0.772 \| good	4.158 \| good	0.077 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.901 \| good	20.06 \| good	39.325 \| good	0.728 \| good	3.954 \| good	0.078 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.717 \| good	19.322 \| good	39.41 \| good	0.703 \| good	4.1 \| good	0.076 \| good
2026-03-28T19:00:00.000Z	36 \| good	6.26 \| good	18.225 \| good	38.844 \| good	0.698 \| good	5.885 \| good	0.088 \| good
2026-03-28T20:00:00.000Z	36 \| good	6.26 \| good	18.126 \| good	38.8 \| good	0.801 \| good	5.583 \| good	0.091 \| good
2026-03-28T21:00:00.000Z	36 \| good	6.13 \| good	17.709 \| good	38.725 \| good	0.616 \| good	5.894 \| good	0.082 \| good
2026-03-28T22:00:00.000Z	34 \| good	6.13 \| good	17.709 \| good	37.427 \| good	0.65 \| good	5.738 \| good	0.085 \| good
2026-03-28T23:00:00.000Z	34 \| good	6.13 \| good	17.709 \| good	36.817 \| good	0.717 \| good	6.933 \| good	0.081 \| good
2026-03-29T00:00:00.000Z	33 \| good	6.13 \| good	17.579 \| good	35.414 \| good	0.681 \| good	7.437 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	6.13 \| good	17.579 \| good	34.452 \| good	0.707 \| good	5.902 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.714 \| good	17.579 \| good	34.109 \| good	0.611 \| good	6.091 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.615 \| good	17.163 \| good	31.852 \| good	0.614 \| good	7.166 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.615 \| good	17.163 \| good	31.998 \| good	0.454 \| good	5.792 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.615 \| good	17.163 \| good	31.359 \| good	0.44 \| good	6.246 \| good	0.08 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.615 \| good	17.163 \| good	30.725 \| good	0.519 \| good	7.819 \| good	0.076 \| good
2026-03-29T07:00:00.000Z	33 \| good	5.714 \| good	17.032 \| good	29.561 \| good	0.529 \| good	8.251 \| good	0.076 \| good
2026-03-29T08:00:00.000Z	33 \| good	5.615 \| good	17.032 \| good	27.255 \| good	0.692 \| good	6.16 \| good	0.083 \| good
2026-03-29T09:00:00.000Z	33 \| good	5.615 \| good	16.934 \| good	26.707 \| good	0.69 \| good	5.726 \| good	0.094 \| good
2026-03-29T10:00:00.000Z	27 \| good	5.431 \| good	16.012 \| good	27.159 \| good	0.471 \| good	6.121 \| good	0.091 \| good
2026-03-29T11:00:00.000Z	27 \| good	5.431 \| good	15.596 \| good	27.942 \| good	0.469 \| good	4.953 \| good	0.071 \| good
2026-03-29T12:00:00.000Z	28 \| good	5.431 \| good	15.367 \| good	30.026 \| good	0.634 \| good	4.656 \| good	0.069 \| good
2026-03-29T13:00:00.000Z	27 \| good	5.26 \| good	14.417 \| good	29.433 \| good	0.678 \| good	5.536 \| good	0.079 \| good
2026-03-29T14:00:00.000Z	28 \| good	5.13 \| good	14 \| good	30.248 \| good	0.679 \| good	5.309 \| good	0.074 \| good
2026-03-29T15:00:00.000Z	31 \| good	5.031 \| good	13.771 \| good	33.201 \| good	0.694 \| good	5.117 \| good	0.078 \| good
2026-03-29T16:00:00.000Z	31 \| good	4.847 \| good	13.034 \| good	33.493 \| good	0.676 \| good	5.987 \| good	0.078 \| good
2026-03-29T17:00:00.000Z	31 \| good	4.431 \| good	12.617 \| good	34.415 \| good	0.665 \| good	4.084 \| good	0.076 \| good
2026-03-29T18:00:00.000Z	32 \| good	4.431 \| good	12.389 \| good	35.004 \| good	0.767 \| good	3.55 \| good	0.074 \| good
2026-03-29T19:00:00.000Z	33 \| good	4.3 \| good	12.258 \| good	36.211 \| good	0.702 \| good	4.173 \| good	0.085 \| good
2026-03-29T20:00:00.000Z	33 \| good	4.3 \| good	12.258 \| good	35.654 \| good	0.896 \| good	4.233 \| good	0.108 \| good
2026-03-29T20:00:00.000Z	34 \| good	4.47 \| good	13.882 \| good	36.815 \| good	0.991 \| good	3.497 \| good	0.108 \| good
2026-03-29T21:00:00.000Z	44 \| good	5.421 \| good	12.684 \| good	48.135 \| good	0.257 \| good	2.624 \| good	0.117 \| good
2026-03-29T22:00:00.000Z	44 \| good	5.835 \| good	11.543 \| good	48.158 \| good	0.232 \| good	2.314 \| good	0.117 \| good
2026-03-29T23:00:00.000Z	44 \| good	6.218 \| good	12.044 \| good	47.146 \| good	0.222 \| good	1.96 \| good	0.117 \| good
2026-03-30T00:00:00.000Z	44 \| good	6.198 \| good	12.104 \| good	46.618 \| good	0.218 \| good	1.85 \| good	0.118 \| good
2026-03-30T01:00:00.000Z	42 \| good	5.838 \| good	11.718 \| good	45.455 \| good	0.21 \| good	1.807 \| good	0.118 \| good
2026-03-30T02:00:00.000Z	42 \| good	5.339 \| good	11.314 \| good	44.852 \| good	0.202 \| good	1.628 \| good	0.117 \| good
2026-03-30T03:00:00.000Z	42 \| good	5.361 \| good	12.51 \| good	44.957 \| good	0.23 \| good	1.442 \| good	0.117 \| good
2026-03-30T04:00:00.000Z	42 \| good	5.171 \| good	12.44 \| good	44.862 \| good	0.235 \| good	1.388 \| good	0.117 \| good
2026-03-30T05:00:00.000Z	42 \| good	5.268 \| good	12.795 \| good	44.826 \| good	0.24 \| good	1.618 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	42 \| good	5.434 \| good	13.256 \| good	44.541 \| good	0.285 \| good	2.14 \| good	0.121 \| good
2026-03-30T07:00:00.000Z	41 \| good	5.51 \| good	12.444 \| good	44.029 \| good	0.311 \| good	3.084 \| good	0.126 \| good
2026-03-30T08:00:00.000Z	42 \| good	5.066 \| good	11.05 \| good	44.663 \| good	0.322 \| good	2.97 \| good	0.129 \| good
2026-03-30T09:00:00.000Z	44 \| good	4.708 \| good	10.231 \| good	46.514 \| good	0.29 \| good	2.527 \| good	0.128 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.593 \| good	9.708 \| good	47.29 \| good	0.236 \| good	1.868 \| good	0.126 \| good
2026-03-30T11:00:00.000Z	44 \| good	4.497 \| good	9.92 \| good	48.12 \| good	0.212 \| good	1.542 \| good	0.125 \| good
2026-03-30T12:00:00.000Z	45 \| good	4.295 \| good	10.427 \| good	49.377 \| good	0.204 \| good	1.398 \| good	0.124 \| good
2026-03-30T13:00:00.000Z	46 \| good	4.119 \| good	10.692 \| good	50.168 \| good	0.195 \| good	1.388 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	47 \| good	4.037 \| good	10.526 \| good	51.217 \| good	0.195 \| good	1.293 \| good	0.124 \| good
2026-03-30T15:00:00.000Z	48 \| good	3.912 \| good	10.164 \| good	51.565 \| good	0.194 \| good	1.408 \| good	0.124 \| good
2026-03-30T16:00:00.000Z	48 \| good	3.923 \| good	9.868 \| good	51.723 \| good	0.218 \| good	1.607 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	46 \| good	3.914 \| good	9.464 \| good	50.396 \| good	0.243 \| good	2.042 \| good	0.126 \| good
2026-03-30T18:00:00.000Z	45 \| good	4.36 \| good	9.818 \| good	49.036 \| good	0.286 \| good	2.926 \| good	0.13 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.64 \| good	10.073 \| good	47.514 \| good	0.35 \| good	3.605 \| good	0.129 \| good
2026-03-30T20:00:00.000Z	43 \| good	4.742 \| good	10.481 \| good	45.67 \| good	0.398 \| good	3.536 \| good	0.125 \| good
2026-03-30T21:00:00.000Z	42 \| good	4.81 \| good	10.962 \| good	44.54 \| good	0.408 \| good	3.469 \| good	0.125 \| good
2026-03-30T22:00:00.000Z	40 \| good	4.914 \| good	11.296 \| good	43.254 \| good	0.43 \| good	3.42 \| good	0.125 \| good
2026-03-30T23:00:00.000Z	39 \| good	4.843 \| good	11.4 \| good	42.372 \| good	0.44 \| good	3.224 \| good	0.126 \| good
2026-03-31T00:00:00.000Z	38 \| good	4.844 \| good	11.764 \| good	40.953 \| good	0.404 \| good	3.242 \| good	0.125 \| good
2026-03-31T01:00:00.000Z	36 \| good	5.112 \| good	12.472 \| good	39.227 \| good	0.356 \| good	2.891 \| good	0.124 \| good
2026-03-31T02:00:00.000Z	37 \| good	5.251 \| good	13.252 \| good	39.77 \| good	0.314 \| good	2.34 \| good	0.124 \| good
2026-03-31T03:00:00.000Z	36 \| good	5.265 \| good	13.773 \| good	39.397 \| good	0.297 \| good	2.14 \| good	0.124 \| good
2026-03-31T04:00:00.000Z	35 \| good	5.296 \| good	11.601 \| good	37.631 \| good	0.298 \| good	2.262 \| good	0.125 \| good
2026-03-31T05:00:00.000Z	31 \| good	5.468 \| good	9.352 \| good	33.781 \| good	0.371 \| good	2.924 \| good	0.125 \| good
2026-03-31T06:00:00.000Z	33 \| good	5.682 \| good	9.074 \| good	30.365 \| good	0.414 \| good	4.516 \| good	0.127 \| good
2026-03-31T07:00:00.000Z	33 \| good	5.754 \| good	8.915 \| good	28.034 \| good	0.423 \| good	6.053 \| good	0.139 \| good
2026-03-31T08:00:00.000Z	27 \| good	5.4 \| good	7.769 \| good	27.654 \| good	0.4 \| good	6.386 \| good	0.136 \| good
2026-03-31T09:00:00.000Z	27 \| good	4.983 \| good	6.856 \| good	27.096 \| good	0.379 \| good	5.198 \| good	0.131 \| good
2026-03-31T10:00:00.000Z	27 \| good	5.04 \| good	6.717 \| good	26.999 \| good	0.349 \| good	5.461 \| good	0.128 \| good
2026-03-31T11:00:00.000Z	28 \| good	4.082 \| good	6.638 \| good	30.358 \| good	0.267 \| good	4.015 \| good	0.126 \| good
2026-03-31T12:00:00.000Z	29 \| good	3.772 \| good	5.948 \| good	30.817 \| good	0.228 \| good	3.148 \| good	0.119 \| good
2026-03-31T13:00:00.000Z	30 \| good	3.039 \| good	5.709 \| good	32.309 \| good	0.211 \| good	2.974 \| good	0.117 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.406 \| good	5.791 \| good	33.789 \| good	0.205 \| good	2.335 \| good	0.116 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.701 \| good	6.151 \| good	34.155 \| good	0.21 \| good	2.392 \| good	0.116 \| good
2026-03-31T16:00:00.000Z	31 \| good	3.758 \| good	6.306 \| good	33.531 \| good	0.256 \| good	3.129 \| good	0.121 \| good
2026-03-31T17:00:00.000Z	31 \| good	4.113 \| good	6.816 \| good	32.936 \| good	0.297 \| good	3.935 \| good	0.125 \| good
2026-03-31T18:00:00.000Z	29 \| good	4.93 \| good	7.7 \| good	31.208 \| good	0.382 \| good	5.604 \| good	0.13 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.268 \| good	9.571 \| good	27.995 \| good	0.507 \| good	8.473 \| good	0.135 \| good
2026-03-31T20:00:00.000Z	38 \| good	7.108 \| good	9.922 \| good	25.372 \| good	0.607 \| good	7.977 \| good	0.133 \| good

South Yorkshire

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South Yorkshire, UK air quality map: Track AQI near you

Air quality in cities of South Yorkshire, UK

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
Adwick le Street, South Yorkshire	34 Good	4.86μg/m³ Good	20.02μg/m³ Good	36.95ppb Good	1.11ppb Good	2.49ppb Good	0.11ppm Good
Armthorpe, South Yorkshire	34 Good	4.90μg/m³ Good	19.97μg/m³ Good	36.68ppb Good	1.18ppb Good	2.33ppb Good	0.11ppm Good
Barnsley, South Yorkshire	38 Good	4.04μg/m³ Good	7.53μg/m³ Good	41.17ppb Good	0.76ppb Good	1.98ppb Good	0.11ppm Good
Bentley, South Yorkshire	34 Good	4.97μg/m³ Good	21.54μg/m³ Good	37.03ppb Good	1.16ppb Good	2.21ppb Good	0.11ppm Good
Chapeltown, South Yorkshire	33 Good	4.18μg/m³ Good	13.09μg/m³ Good	35.50ppb Good	0.75ppb Good	5.46ppb Good	0.11ppm Good
Conisbrough, South Yorkshire	34 Good	4.69μg/m³ Good	17.59μg/m³ Good	36.59ppb Good	1.04ppb Good	3.03ppb Good	0.11ppm Good
Cudworth, South Yorkshire	36 Good	4.17μg/m³ Good	9.28μg/m³ Good	38.65ppb Good	0.78ppb Good	3.40ppb Good	0.11ppm Good
Darton, South Yorkshire	38 Good	4.04μg/m³ Good	7.37μg/m³ Good	41.38ppb Good	0.76ppb Good	1.89ppb Good	0.11ppm Good
Dinnington, South Yorkshire	34 Good	4.16μg/m³ Good	12.22μg/m³ Good	37.30ppb Good	1.09ppb Good	4.26ppb Good	0.10ppm Good
Doncaster, South Yorkshire	34 Good	5.00μg/m³ Good	21.97μg/m³ Good	37.06ppb Good	1.18ppb Good	2.13ppb Good	0.11ppm Good
Dunscroft, South Yorkshire	34 Good	4.21μg/m³ Good	11.04μg/m³ Good	36.94ppb Good	1.40ppb Good	6.46ppb Good	0.10ppm Good
Hoyland, South Yorkshire	34 Good	4.16μg/m³ Good	10.53μg/m³ Good	36.92ppb Good	0.78ppb Good	4.17ppb Good	0.11ppm Good
Kirk Sandall, South Yorkshire	34 Good	4.83μg/m³ Good	20.70μg/m³ Good	36.68ppb Good	1.17ppb Good	2.38ppb Good	0.11ppm Good
Maltby, South Yorkshire	32 Good	4.21μg/m³ Good	12.17μg/m³ Good	35.30ppb Good	1.08ppb Good	3.90ppb Good	0.11ppm Good
Mexborough, South Yorkshire	32 Good	4.21μg/m³ Good	12.17μg/m³ Good	35.30ppb Good	1.08ppb Good	3.90ppb Good	0.11ppm Good
New Rossington, South Yorkshire	34 Good	4.97μg/m³ Good	20.28μg/m³ Good	36.81ppb Good	1.13ppb Good	2.56ppb Good	0.11ppm Good
Rawmarsh, South Yorkshire	32 Good	4.18μg/m³ Good	10.78μg/m³ Good	35.07ppb Good	0.88ppb Good	4.62ppb Good	0.11ppm Good
Rotherham, South Yorkshire	32 Good	4.08μg/m³ Good	9.32μg/m³ Good	34.54ppb Good	0.90ppb Good	4.75ppb Good	0.11ppm Good
Royston, South Yorkshire	37 Good	4.14μg/m³ Good	8.42μg/m³ Good	39.98ppb Good	0.77ppb Good	2.73ppb Good	0.11ppm Good
Scawthorpe, South Yorkshire	34 Good	4.97μg/m³ Good	21.54μg/m³ Good	37.03ppb Good	1.16ppb Good	2.21ppb Good	0.11ppm Good
Sheffield, South Yorkshire	33 Good	4.75μg/m³ Good	10.89μg/m³ Good	36.00ppb Good	0.68ppb Good	3.72ppb Good	0.11ppm Good
Swallownest, South Yorkshire	33 Good	4.15μg/m³ Good	9.58μg/m³ Good	36.00ppb Good	0.79ppb Good	3.93ppb Good	0.11ppm Good
Swinton, South Yorkshire	33 Good	4.35μg/m³ Good	12.93μg/m³ Good	36.02ppb Good	0.90ppb Good	4.00ppb Good	0.11ppm Good
Thorne, South Yorkshire	34 Good	5.15μg/m³ Good	11.09μg/m³ Good	36.89ppb Good	1.42ppb Good	5.72ppb Good	0.11ppm Good
Warmsworth, South Yorkshire	34 Good	4.92μg/m³ Good	20.77μg/m³ Good	36.95ppb Good	1.14ppb Good	2.37ppb Good	0.11ppm Good
WathuponDearne, South Yorkshire	33 Good	4.24μg/m³ Good	11.51μg/m³ Good	35.87ppb Good	0.86ppb Good	4.30ppb Good	0.11ppm Good
Wickersley, South Yorkshire	32 Good	4.21μg/m³ Good	12.17μg/m³ Good	35.30ppb Good	1.08ppb Good	3.90ppb Good	0.11ppm Good
Wombwell, South Yorkshire	32 Good	4.42μg/m³ Good	12.21μg/m³ Good	34.91ppb Good	0.73ppb Good	3.10ppb Good	0.11ppm Good

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
No results found

0.09ppm

How accurate is South Yorkshire, UK air quality data?

Air quality data and pollutant measurements for South Yorkshire, UK adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

Air quality levels in UK

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Frequently asked questions

How often is the air quality data for South Yorkshire, UK updated?

The air quality for South Yorkshire, UK is updated every hour.

When was the worst air quality at South Yorkshire, UK in the last 24 hrs?

The worst air quality in South Yorkshire, UK in the last 24 hours was observed at 09:00:00 on 2026-03-28.

When was the best air quality at South Yorkshire, UK in the last 24 hrs?

In the last 24 hrs, the best air quality in South Yorkshire, UK was observed at 01:00:00 on 2026-03-29.

What is the current air quality in South Yorkshire, UK?

The current air quality in South Yorkshire, UK is 34, categorized as Good based on real-time data.

What pollutant is the most common in South Yorkshire, UK?

The most common pollutant in South Yorkshire, UK is O3.

What should I do if the air quality in South Yorkshire, UK is poor?

If the air quality in South Yorkshire, UK is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in South Yorkshire, UK?

The current PM_2.5 concentration at South Yorkshire, UK is 4.47 μg/m³.

What is the current concentration of PM₁₀ in South Yorkshire, UK?

The current PM₁₀ concentration at South Yorkshire, UK is 13.882 μg/m³.

What is the current concentration of carbon monoxide (CO) in South Yorkshire, UK?

The current carbon monoxide (CO) concentration at South Yorkshire, UK is 0.108 ppm.

What is the current concentration of sulfur dioxide (SO₂) in South Yorkshire, UK?

The current sulfur dioxide (SO₂) concentration at South Yorkshire, UK is 0.991 ppb.

What is the current concentration of ozone (O₃) in South Yorkshire, UK?

The current ozone (O₃) concentration at South Yorkshire, UK is 36.815 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in South Yorkshire, UK?

The current nitrogen dioxide (NO₂) concentration at South Yorkshire, UK is 3.497 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T21:00:00.000Z	32 \| good	5.183 \| good	14.101 \| good	35.43 \| good	0.633 \| good	10.86 \| good	0.102 \| good
2026-03-27T22:00:00.000Z	32 \| good	5.136 \| good	13.194 \| good	34.65 \| good	0.88 \| good	8.367 \| good	0.097 \| good
2026-03-27T23:00:00.000Z	32 \| good	4.992 \| good	12.25 \| good	34.734 \| good	0.841 \| good	8.057 \| good	0.081 \| good
2026-03-28T00:00:00.000Z	32 \| good	4.865 \| good	13.165 \| good	35.407 \| good	0.616 \| good	5.671 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	31 \| good	4.896 \| good	13.111 \| good	34.247 \| good	0.643 \| good	4.788 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	31 \| good	4.9 \| good	12.512 \| good	34.055 \| good	0.677 \| good	4.251 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	31 \| good	4.845 \| good	12.632 \| good	34.107 \| good	0.442 \| good	3.676 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	5.88 \| good	13.909 \| good	35.003 \| good	0.472 \| good	2.717 \| good	0.203 \| good
2026-03-28T05:00:00.000Z	33 \| good	5.872 \| good	14.642 \| good	35.119 \| good	0.516 \| good	3.329 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	5.879 \| good	14.849 \| good	35.888 \| good	0.449 \| good	1.843 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	34 \| good	5.903 \| good	15.532 \| good	36.827 \| good	0.443 \| good	2.084 \| good	0.058 \| good
2026-03-28T08:00:00.000Z	33 \| good	6.369 \| good	19.242 \| good	36.006 \| good	0.546 \| good	3.069 \| good	0.066 \| good
2026-03-28T09:00:00.000Z	34 \| good	6.499 \| good	19.372 \| good	36.997 \| good	0.774 \| good	3.138 \| good	0.071 \| good
2026-03-28T10:00:00.000Z	34 \| good	6.499 \| good	19.47 \| good	37.409 \| good	0.554 \| good	3.642 \| good	0.078 \| good
2026-03-28T11:00:00.000Z	38 \| good	7.086 \| good	20.38 \| good	36.962 \| good	0.606 \| good	4.038 \| good	0.08 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.184 \| good	20.797 \| good	37.291 \| good	0.68 \| good	4.235 \| good	0.077 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.184 \| good	21.026 \| good	38.083 \| good	0.68 \| good	4.047 \| good	0.076 \| good
2026-03-28T14:00:00.000Z	38 \| good	7.315 \| good	21.541 \| good	38.227 \| good	0.68 \| good	5.084 \| good	0.073 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.13 \| good	20.705 \| good	38.618 \| good	0.747 \| good	4.154 \| good	0.088 \| good
2026-03-28T16:00:00.000Z	38 \| good	7 \| good	20.288 \| good	38.894 \| good	0.772 \| good	4.158 \| good	0.077 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.901 \| good	20.06 \| good	39.325 \| good	0.728 \| good	3.954 \| good	0.078 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.717 \| good	19.322 \| good	39.41 \| good	0.703 \| good	4.1 \| good	0.076 \| good
2026-03-28T19:00:00.000Z	36 \| good	6.26 \| good	18.225 \| good	38.844 \| good	0.698 \| good	5.885 \| good	0.088 \| good
2026-03-28T20:00:00.000Z	36 \| good	6.26 \| good	18.126 \| good	38.8 \| good	0.801 \| good	5.583 \| good	0.091 \| good
2026-03-28T21:00:00.000Z	36 \| good	6.13 \| good	17.709 \| good	38.725 \| good	0.616 \| good	5.894 \| good	0.082 \| good
2026-03-28T22:00:00.000Z	34 \| good	6.13 \| good	17.709 \| good	37.427 \| good	0.65 \| good	5.738 \| good	0.085 \| good
2026-03-28T23:00:00.000Z	34 \| good	6.13 \| good	17.709 \| good	36.817 \| good	0.717 \| good	6.933 \| good	0.081 \| good
2026-03-29T00:00:00.000Z	33 \| good	6.13 \| good	17.579 \| good	35.414 \| good	0.681 \| good	7.437 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	6.13 \| good	17.579 \| good	34.452 \| good	0.707 \| good	5.902 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.714 \| good	17.579 \| good	34.109 \| good	0.611 \| good	6.091 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.615 \| good	17.163 \| good	31.852 \| good	0.614 \| good	7.166 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.615 \| good	17.163 \| good	31.998 \| good	0.454 \| good	5.792 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.615 \| good	17.163 \| good	31.359 \| good	0.44 \| good	6.246 \| good	0.08 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.615 \| good	17.163 \| good	30.725 \| good	0.519 \| good	7.819 \| good	0.076 \| good
2026-03-29T07:00:00.000Z	33 \| good	5.714 \| good	17.032 \| good	29.561 \| good	0.529 \| good	8.251 \| good	0.076 \| good
2026-03-29T08:00:00.000Z	33 \| good	5.615 \| good	17.032 \| good	27.255 \| good	0.692 \| good	6.16 \| good	0.083 \| good
2026-03-29T09:00:00.000Z	33 \| good	5.615 \| good	16.934 \| good	26.707 \| good	0.69 \| good	5.726 \| good	0.094 \| good
2026-03-29T10:00:00.000Z	27 \| good	5.431 \| good	16.012 \| good	27.159 \| good	0.471 \| good	6.121 \| good	0.091 \| good
2026-03-29T11:00:00.000Z	27 \| good	5.431 \| good	15.596 \| good	27.942 \| good	0.469 \| good	4.953 \| good	0.071 \| good
2026-03-29T12:00:00.000Z	28 \| good	5.431 \| good	15.367 \| good	30.026 \| good	0.634 \| good	4.656 \| good	0.069 \| good
2026-03-29T13:00:00.000Z	27 \| good	5.26 \| good	14.417 \| good	29.433 \| good	0.678 \| good	5.536 \| good	0.079 \| good
2026-03-29T14:00:00.000Z	28 \| good	5.13 \| good	14 \| good	30.248 \| good	0.679 \| good	5.309 \| good	0.074 \| good
2026-03-29T15:00:00.000Z	31 \| good	5.031 \| good	13.771 \| good	33.201 \| good	0.694 \| good	5.117 \| good	0.078 \| good
2026-03-29T16:00:00.000Z	31 \| good	4.847 \| good	13.034 \| good	33.493 \| good	0.676 \| good	5.987 \| good	0.078 \| good
2026-03-29T17:00:00.000Z	31 \| good	4.431 \| good	12.617 \| good	34.415 \| good	0.665 \| good	4.084 \| good	0.076 \| good
2026-03-29T18:00:00.000Z	32 \| good	4.431 \| good	12.389 \| good	35.004 \| good	0.767 \| good	3.55 \| good	0.074 \| good
2026-03-29T19:00:00.000Z	33 \| good	4.3 \| good	12.258 \| good	36.211 \| good	0.702 \| good	4.173 \| good	0.085 \| good
2026-03-29T20:00:00.000Z	33 \| good	4.3 \| good	12.258 \| good	35.654 \| good	0.896 \| good	4.233 \| good	0.108 \| good
2026-03-29T20:00:00.000Z	34 \| good	4.47 \| good	13.882 \| good	36.815 \| good	0.991 \| good	3.497 \| good	0.108 \| good
2026-03-29T21:00:00.000Z	44 \| good	5.421 \| good	12.684 \| good	48.135 \| good	0.257 \| good	2.624 \| good	0.117 \| good
2026-03-29T22:00:00.000Z	44 \| good	5.835 \| good	11.543 \| good	48.158 \| good	0.232 \| good	2.314 \| good	0.117 \| good
2026-03-29T23:00:00.000Z	44 \| good	6.218 \| good	12.044 \| good	47.146 \| good	0.222 \| good	1.96 \| good	0.117 \| good
2026-03-30T00:00:00.000Z	44 \| good	6.198 \| good	12.104 \| good	46.618 \| good	0.218 \| good	1.85 \| good	0.118 \| good
2026-03-30T01:00:00.000Z	42 \| good	5.838 \| good	11.718 \| good	45.455 \| good	0.21 \| good	1.807 \| good	0.118 \| good
2026-03-30T02:00:00.000Z	42 \| good	5.339 \| good	11.314 \| good	44.852 \| good	0.202 \| good	1.628 \| good	0.117 \| good
2026-03-30T03:00:00.000Z	42 \| good	5.361 \| good	12.51 \| good	44.957 \| good	0.23 \| good	1.442 \| good	0.117 \| good
2026-03-30T04:00:00.000Z	42 \| good	5.171 \| good	12.44 \| good	44.862 \| good	0.235 \| good	1.388 \| good	0.117 \| good
2026-03-30T05:00:00.000Z	42 \| good	5.268 \| good	12.795 \| good	44.826 \| good	0.24 \| good	1.618 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	42 \| good	5.434 \| good	13.256 \| good	44.541 \| good	0.285 \| good	2.14 \| good	0.121 \| good
2026-03-30T07:00:00.000Z	41 \| good	5.51 \| good	12.444 \| good	44.029 \| good	0.311 \| good	3.084 \| good	0.126 \| good
2026-03-30T08:00:00.000Z	42 \| good	5.066 \| good	11.05 \| good	44.663 \| good	0.322 \| good	2.97 \| good	0.129 \| good
2026-03-30T09:00:00.000Z	44 \| good	4.708 \| good	10.231 \| good	46.514 \| good	0.29 \| good	2.527 \| good	0.128 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.593 \| good	9.708 \| good	47.29 \| good	0.236 \| good	1.868 \| good	0.126 \| good
2026-03-30T11:00:00.000Z	44 \| good	4.497 \| good	9.92 \| good	48.12 \| good	0.212 \| good	1.542 \| good	0.125 \| good
2026-03-30T12:00:00.000Z	45 \| good	4.295 \| good	10.427 \| good	49.377 \| good	0.204 \| good	1.398 \| good	0.124 \| good
2026-03-30T13:00:00.000Z	46 \| good	4.119 \| good	10.692 \| good	50.168 \| good	0.195 \| good	1.388 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	47 \| good	4.037 \| good	10.526 \| good	51.217 \| good	0.195 \| good	1.293 \| good	0.124 \| good
2026-03-30T15:00:00.000Z	48 \| good	3.912 \| good	10.164 \| good	51.565 \| good	0.194 \| good	1.408 \| good	0.124 \| good
2026-03-30T16:00:00.000Z	48 \| good	3.923 \| good	9.868 \| good	51.723 \| good	0.218 \| good	1.607 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	46 \| good	3.914 \| good	9.464 \| good	50.396 \| good	0.243 \| good	2.042 \| good	0.126 \| good
2026-03-30T18:00:00.000Z	45 \| good	4.36 \| good	9.818 \| good	49.036 \| good	0.286 \| good	2.926 \| good	0.13 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.64 \| good	10.073 \| good	47.514 \| good	0.35 \| good	3.605 \| good	0.129 \| good
2026-03-30T20:00:00.000Z	43 \| good	4.742 \| good	10.481 \| good	45.67 \| good	0.398 \| good	3.536 \| good	0.125 \| good
2026-03-30T21:00:00.000Z	42 \| good	4.81 \| good	10.962 \| good	44.54 \| good	0.408 \| good	3.469 \| good	0.125 \| good
2026-03-30T22:00:00.000Z	40 \| good	4.914 \| good	11.296 \| good	43.254 \| good	0.43 \| good	3.42 \| good	0.125 \| good
2026-03-30T23:00:00.000Z	39 \| good	4.843 \| good	11.4 \| good	42.372 \| good	0.44 \| good	3.224 \| good	0.126 \| good
2026-03-31T00:00:00.000Z	38 \| good	4.844 \| good	11.764 \| good	40.953 \| good	0.404 \| good	3.242 \| good	0.125 \| good
2026-03-31T01:00:00.000Z	36 \| good	5.112 \| good	12.472 \| good	39.227 \| good	0.356 \| good	2.891 \| good	0.124 \| good
2026-03-31T02:00:00.000Z	37 \| good	5.251 \| good	13.252 \| good	39.77 \| good	0.314 \| good	2.34 \| good	0.124 \| good
2026-03-31T03:00:00.000Z	36 \| good	5.265 \| good	13.773 \| good	39.397 \| good	0.297 \| good	2.14 \| good	0.124 \| good
2026-03-31T04:00:00.000Z	35 \| good	5.296 \| good	11.601 \| good	37.631 \| good	0.298 \| good	2.262 \| good	0.125 \| good
2026-03-31T05:00:00.000Z	31 \| good	5.468 \| good	9.352 \| good	33.781 \| good	0.371 \| good	2.924 \| good	0.125 \| good
2026-03-31T06:00:00.000Z	33 \| good	5.682 \| good	9.074 \| good	30.365 \| good	0.414 \| good	4.516 \| good	0.127 \| good
2026-03-31T07:00:00.000Z	33 \| good	5.754 \| good	8.915 \| good	28.034 \| good	0.423 \| good	6.053 \| good	0.139 \| good
2026-03-31T08:00:00.000Z	27 \| good	5.4 \| good	7.769 \| good	27.654 \| good	0.4 \| good	6.386 \| good	0.136 \| good
2026-03-31T09:00:00.000Z	27 \| good	4.983 \| good	6.856 \| good	27.096 \| good	0.379 \| good	5.198 \| good	0.131 \| good
2026-03-31T10:00:00.000Z	27 \| good	5.04 \| good	6.717 \| good	26.999 \| good	0.349 \| good	5.461 \| good	0.128 \| good
2026-03-31T11:00:00.000Z	28 \| good	4.082 \| good	6.638 \| good	30.358 \| good	0.267 \| good	4.015 \| good	0.126 \| good
2026-03-31T12:00:00.000Z	29 \| good	3.772 \| good	5.948 \| good	30.817 \| good	0.228 \| good	3.148 \| good	0.119 \| good
2026-03-31T13:00:00.000Z	30 \| good	3.039 \| good	5.709 \| good	32.309 \| good	0.211 \| good	2.974 \| good	0.117 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.406 \| good	5.791 \| good	33.789 \| good	0.205 \| good	2.335 \| good	0.116 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.701 \| good	6.151 \| good	34.155 \| good	0.21 \| good	2.392 \| good	0.116 \| good
2026-03-31T16:00:00.000Z	31 \| good	3.758 \| good	6.306 \| good	33.531 \| good	0.256 \| good	3.129 \| good	0.121 \| good
2026-03-31T17:00:00.000Z	31 \| good	4.113 \| good	6.816 \| good	32.936 \| good	0.297 \| good	3.935 \| good	0.125 \| good
2026-03-31T18:00:00.000Z	29 \| good	4.93 \| good	7.7 \| good	31.208 \| good	0.382 \| good	5.604 \| good	0.13 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.268 \| good	9.571 \| good	27.995 \| good	0.507 \| good	8.473 \| good	0.135 \| good
2026-03-31T20:00:00.000Z	38 \| good	7.108 \| good	9.922 \| good	25.372 \| good	0.607 \| good	7.977 \| good	0.133 \| good

South Yorkshire, UK live air quality index now

Major air pollutants in South Yorkshire, UK

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live South Yorkshire, UK air quality forecast and history

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South Yorkshire, UK air quality map: Track AQI near you

Air quality in cities of South Yorkshire, UK

Air quality in nearby states

Derbyshire, UK

Nottinghamshire, UK

West Yorkshire, UK

North Lincolnshire, UK

Greater Manchester, UK

East Riding of Yorkshire, UK

How accurate is South Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is the air quality data for South Yorkshire, UK updated?

When was the worst air quality at South Yorkshire, UK in the last 24 hrs?

When was the best air quality at South Yorkshire, UK in the last 24 hrs?

What is the current air quality in South Yorkshire, UK?

What pollutant is the most common in South Yorkshire, UK?

What should I do if the air quality in South Yorkshire, UK is poor?

What is the current concentration of PM2.5 in South Yorkshire, UK?

What is the current concentration of PM10 in South Yorkshire, UK?

What is the current concentration of carbon monoxide (CO) in South Yorkshire, UK?

What is the current concentration of sulfur dioxide (SO2) in South Yorkshire, UK?

What is the current concentration of ozone (O3) in South Yorkshire, UK?

What is the current concentration of nitrogen dioxide (NO2) in South Yorkshire, UK?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in South Yorkshire, UK?

What is the current concentration of PM₁₀ in South Yorkshire, UK?

What is the current concentration of sulfur dioxide (SO₂) in South Yorkshire, UK?

What is the current concentration of ozone (O₃) in South Yorkshire, UK?

What is the current concentration of nitrogen dioxide (NO₂) in South Yorkshire, UK?